Journal
IEEE TRANSACTIONS ON MULTIMEDIA
Volume 18, Issue 5, Pages 879-892Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMM.2016.2535722
Keywords
Heterogeneous cloud radio access networks; Lyapunov optimization; multimedia traffic; queue-aware
Categories
Funding
- National Natural Science Foundation of China [61361166005]
- National High Technology Research and Development Program of China [2014AA01A701]
- National Basic Research Program of China (973 Program) [2013CB336600]
- U.S. National Science Foundation [ECCS-1343210]
- Div Of Electrical, Commun & Cyber Sys
- Directorate For Engineering [1343210] Funding Source: National Science Foundation
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The heterogeneous cloud radio access network (H-CRAN) is a promising paradigm that incorporates cloud computing into heterogeneous networks (HetNets), thereby taking full advantage of cloud radio access networks (C-RANs) and HetNets. Characterizing cooperative beamforming with fronthaul capacity and queue stability constraints is critical for multimedia applications to improve the energy efficiency (EE) in H-CRANs. An energy-efficient optimization objective function with individual fronthaul capacity and intertier interference constraints is presented in this paper for queue-aware multimedia H-CRANs. To solve this nonconvex objective function, a stochastic optimization problem is reformulated by introducing the general Lyapunov optimization framework. Under the Lyapunov framework, this optimization problem is equivalent to an optimal network-wide cooperative beamformer design algorithm with instantaneous power, average power, and intertier interference constraints, which can be regarded as a weighted sum EE maximization problem and solved by a generalized weighted minimum mean-square error approach. The mathematical analysis and simulation results demonstrate that a tradeoff between EE and queuing delay can be achieved, and this tradeoff strictly depends on the fronthaul constraint.
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